考虑信号灯状态的经济车速规划  

Economic Speed Planning with Consideration the State of Traffic Lights

作　　者：雷朝阳 高建平 屈俊凯[1] 郗建国 LEI Zhao-yang;GAO Jian-ping;QU Jun-kai;XI Jian-guo(Vehicle&Transportation Engineering Institute,Henan University of Science and Technology,Luoyang 471003,China;Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan,Henan University of Science and Technology,Luoyang 471003,China)

机构地区：[1]河南科技大学车辆与交通工程学院,洛阳471003 [2]河南科技大学机械装备先进制造河南省协同创新中心,洛阳471003

出　　处：《科学技术与工程》2020年第18期7484-7492,共9页Science Technology and Engineering

基　　金：国家重点研发计划(2018YFB0105904)。

摘　　要：为解决车辆在信号灯控制区域频繁启停造成的通行延误和通行效率低问题,提出了考虑信号灯状态的经济车速规划方法。首先,借助车路协同技术通过车-车、车-路交互获得车辆当前的位置和运动状态数据,以及信号灯相位信息,对近信号控制区车辆通行特征及路口可通过性进行判定,建立车辆通行引导控制模型;其次,对各驾驶行为下车辆时空轨迹进行分析,分别以路口停车次数及车辆延误最小为目标,建立统一优化目标函数,利用多目标粒子群算法求得最优经济车速,以向驾驶员提供车速建议;最后,为验证车速引导模型的有效性,利用PreScan、Vissim和MATLAB/Simulink联合仿真。结果表明,该方法可有效避免红灯停车,车辆行程时间可减少18.7%,停车次数在高车流密度下减少44%以上,车辆延误减少45%。To solve the problem of traffic delay and low traffic efficiency caused by frequent start and stop of vehicles in the signal control area, an economic vehicle speed planning method in consideration of the state of traffic light was proposed. First, with the help of V2 X technology, the vehicle current position and motion state data and signal phase information were collected in V2 I technology, the vehicle traffic characteristics and intersection trafficability in near signal control area were judged, and the vehicle traffic guidance control model was established. Secondly, the time and space trajectories of vehicles under various driving behaviors were analyzed and the unified optimization objective function was set up to minimize the number of stops at intersections and vehicle delays. The optimal economic speed could be obtained by using multi-objective particle swarm optimization algorithm, by which the speed advice to the drivers could be provided. Finally, to verify the validity of the speed guidance model, PreScan, Vissim, and MATLAB/Simulink were used to co-simulate. The results show that this method can effectively minimize the stopping at red lights, reduce the travel time by 18.7%, decrease the number of stops by more than 44% under high traffic density, and cut the vehicle delays by 45%.

关 键 词：车路协同 经济车速规划 信号交叉口 粒子群算法 车联网 

分 类 号：U469.6[机械工程—车辆工程] U495[交通运输工程—载运工具运用工程]